Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/askarzh/epistemator/scholasticgit clone --depth 1 https://github.com/askarzh/epistematorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/askarzh/epistemator/scholastic)<a href="https://agentmods.dev/commands/askarzh/epistemator/scholastic"><img src="https://agentmods.dev/badge/commands/askarzh/epistemator/scholastic.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00013 | $0.00080 |
| Opus 5 | $0.00006 | $0.00040 |
| Sonnet 5 | $0.00003 | $0.00016 |
| Haiku 4.5 | $0.00001 | $0.00008 |
Grade A, and why
scholastic scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Invoke the scholastic skill to analyze the user's input.
If the user includes --interactive in their arguments, use Interactive Mode as described in the skill. Otherwise, use Structured Mode.
The user's input to analyze: $ARGUMENTS
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 11 lines · 0 tokens per session scan A d17eda489e36
scholastic is a command published in the GitHub repository askarzh/epistemator (3 stars, last pushed 6mo ago), licensed MIT. It adds 13 tokens to every session and 80 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
explain-code
Explain code functionality — from high-level overview to line-by-line analysis. Useful for onboarding, knowledge transfer, and understanding unfamiliar code.
dotnet-teach
One-time setup that scans a .NET backend project, learns its conventions and architecture, and writes them to CLAUDE.md for future sessions.
study-help
Explain the agentic-study-environment harness — everything it offers, or a specific skill, domain overlay, session type, or convention if you name one.
ux-onboarding
Get familiar with a project's UX/design choices and patterns — a guided, part-by-part walkthrough that sends you to read the real code, checks your understanding with questions, and has you reimplement a small recent change.
onboarding-flow-optimizer
Optimize user onboarding to reduce time-to-value and increase activation rates. Design clear paths to the "aha moment" through checklists, product tours, educational content, and personalized flows. Generate actionable HTML reports with funnel analysis, email sequences, and A/B testing plans.
learn
Manually run the continuous-learner. Extract patterns from this session and write to .greatcto/lessons.md. Use when SessionEnd hook missed something or you want to capture a lesson mid-session.